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YolactEdge Review [cdm]

Dongmin Choi, profile picture
Dongmin Choi

YOLACTEdge is a real-time instance segmentation method designed to run accurately on edge devices, achieving speeds of 30.8 fps on Jetson AGX Xavier and 172.7 fps on RTX 2080 Ti GPU. The approach includes optimizations through NVIDIA's TensorRT inference engine and leverages temporal redundancy in videos to enhance performance. This work addresses the crucial need for real-time instance segmentation in various autonomous applications.

Technology
Related topics:
Convolutional Neural Network • Deep Learning • Real-Time Innovations
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YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
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YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]
YolactEdge Review [cdm]

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